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1. The Eurasian Modern Pollen Database (EMPD), version 2

Author

Davis, B, Chevalier, M, Sommer, P, Carter, V, Finsinger, W, Mauri, A, Phelps, L, Zanon, M, Abegglen, R, Akesson, C, Alba-Sanchez, F, Scott Anderson, R, Antipina, T, Atanassova, J, Beer, R, Belyanina, N, Blyakharchuk, T, Borisova, O, Bozilova, E, Bukreeva, G, Jane Bunting, M, Clo, E, Colombaroli, D, Combourieu-Nebout, N, Desprat, S, Di Rita, F, Djamali, M, Edwards, K, Fall, P, Feurdean, A, Fletcher, W, Florenzano, A, Furlanetto, G, Gaceur, E, Galimov, A, Galka, M, Garcia-Moreiras, I, Giesecke, T, Grindean, R, Guido, M, Gvozdeva, I, Herzschuh, U, Hjelle, K, Ivanov, S, Jahns, S, Jankovska, V, Jimenez-Moreno, G, Karpinska-Kolaczek, M, Kitaba, I, Kolaczek, P, Lapteva, E, Latalowa, M, Lebreton, V, Leroy, S, Leydet, M, Lopatina, D, Lopez-Saez, J, Lotter, A, Magri, D, Marinova, E, Matthias, I, Mavridou, A, Mercuri, A, Mesa-Fernandez, J, Mikishin, Y, Milecka, K, Montanari, C, Morales-Molino, C, Mrotzek, A, Sobrino, C, Naidina, O, Nakagawa, T, Nielsen, A, Novenko, E, Panajiotidis, S, Panova, N, Papadopoulou, M, Pardoe, H, Pedziszewska, A, Petrenko, T, Ramos-Roman, M, Ravazzi, C, Rosch, M, Ryabogina, N, Ruiz, S, Sakari Salonen, J, Sapelko, T, Schofield, J, Seppa, H, Shumilovskikh, L, Stivrins, N, Stojakowits, P, Svitavska, H, Swieta-Musznicka, J, Tantau, I, Tinner, W, Tobolski, K, Tonkov, S, Tsakiridou, M, Valsecchi, V, Zanina, O, Zimny, M, Davis B. A. S., Chevalier M., Sommer P., Carter V. A., Finsinger W., Mauri A., Phelps L. N., Zanon M., Abegglen R., Akesson C. M., Alba-Sanchez F., Scott Anderson R., Antipina T. G., Atanassova J. R., Beer R., Belyanina N. I., Blyakharchuk T. A., Borisova O. K., Bozilova E., Bukreeva G., Jane Bunting M., Clo E., Colombaroli D., Combourieu-Nebout N., Desprat S., Di Rita F., Djamali M., Edwards K. J., Fall P. L., Feurdean A., Fletcher W., Florenzano A., Furlanetto G., Gaceur E., Galimov A. T., Galka M., Garcia-Moreiras I., Giesecke T., Grindean R., Guido M. A., Gvozdeva I. G., Herzschuh U., Hjelle K. L., Ivanov S., Jahns S., Jankovska V., Jimenez-Moreno G., Karpinska-Kolaczek M., Kitaba I., Kolaczek P., Lapteva E. G., Latalowa M., Lebreton V., Leroy S., Leydet M., Lopatina D. A., Lopez-Saez J. A., Lotter A. F., Magri D., Marinova E., Matthias I., Mavridou A., Mercuri A. M., Mesa-Fernandez J. M., Mikishin Y. A., Milecka K., Montanari C., Morales-Molino C., Mrotzek A., Sobrino C. M., Naidina O. D., Nakagawa T., Nielsen A. B., Novenko E. Y., Panajiotidis S., Panova N. K., Papadopoulou M., Pardoe H. S., Pedziszewska A., Petrenko T. I., Ramos-Roman M. J., Ravazzi C., Rosch M., Ryabogina N., Ruiz S. S., Sakari Salonen J., Sapelko T. V., Schofield J. E., Seppa H., Shumilovskikh L., Stivrins N., Stojakowits P., Svitavska H. S., Swieta-Musznicka J., Tantau I., Tinner W., Tobolski K., Tonkov S., Tsakiridou M., Valsecchi V., Zanina O. G., Zimny M., Davis, B, Chevalier, M, Sommer, P, Carter, V, Finsinger, W, Mauri, A, Phelps, L, Zanon, M, Abegglen, R, Akesson, C, Alba-Sanchez, F, Scott Anderson, R, Antipina, T, Atanassova, J, Beer, R, Belyanina, N, Blyakharchuk, T, Borisova, O, Bozilova, E, Bukreeva, G, Jane Bunting, M, Clo, E, Colombaroli, D, Combourieu-Nebout, N, Desprat, S, Di Rita, F, Djamali, M, Edwards, K, Fall, P, Feurdean, A, Fletcher, W, Florenzano, A, Furlanetto, G, Gaceur, E, Galimov, A, Galka, M, Garcia-Moreiras, I, Giesecke, T, Grindean, R, Guido, M, Gvozdeva, I, Herzschuh, U, Hjelle, K, Ivanov, S, Jahns, S, Jankovska, V, Jimenez-Moreno, G, Karpinska-Kolaczek, M, Kitaba, I, Kolaczek, P, Lapteva, E, Latalowa, M, Lebreton, V, Leroy, S, Leydet, M, Lopatina, D, Lopez-Saez, J, Lotter, A, Magri, D, Marinova, E, Matthias, I, Mavridou, A, Mercuri, A, Mesa-Fernandez, J, Mikishin, Y, Milecka, K, Montanari, C, Morales-Molino, C, Mrotzek, A, Sobrino, C, Naidina, O, Nakagawa, T, Nielsen, A, Novenko, E, Panajiotidis, S, Panova, N, Papadopoulou, M, Pardoe, H, Pedziszewska, A, Petrenko, T, Ramos-Roman, M, Ravazzi, C, Rosch, M, Ryabogina, N, Ruiz, S, Sakari Salonen, J, Sapelko, T, Schofield, J, Seppa, H, Shumilovskikh, L, Stivrins, N, Stojakowits, P, Svitavska, H, Swieta-Musznicka, J, Tantau, I, Tinner, W, Tobolski, K, Tonkov, S, Tsakiridou, M, Valsecchi, V, Zanina, O, Zimny, M, Davis B. A. S., Chevalier M., Sommer P., Carter V. A., Finsinger W., Mauri A., Phelps L. N., Zanon M., Abegglen R., Akesson C. M., Alba-Sanchez F., Scott Anderson R., Antipina T. G., Atanassova J. R., Beer R., Belyanina N. I., Blyakharchuk T. A., Borisova O. K., Bozilova E., Bukreeva G., Jane Bunting M., Clo E., Colombaroli D., Combourieu-Nebout N., Desprat S., Di Rita F., Djamali M., Edwards K. J., Fall P. L., Feurdean A., Fletcher W., Florenzano A., Furlanetto G., Gaceur E., Galimov A. T., Galka M., Garcia-Moreiras I., Giesecke T., Grindean R., Guido M. A., Gvozdeva I. G., Herzschuh U., Hjelle K. L., Ivanov S., Jahns S., Jankovska V., Jimenez-Moreno G., Karpinska-Kolaczek M., Kitaba I., Kolaczek P., Lapteva E. G., Latalowa M., Lebreton V., Leroy S., Leydet M., Lopatina D. A., Lopez-Saez J. A., Lotter A. F., Magri D., Marinova E., Matthias I., Mavridou A., Mercuri A. M., Mesa-Fernandez J. M., Mikishin Y. A., Milecka K., Montanari C., Morales-Molino C., Mrotzek A., Sobrino C. M., Naidina O. D., Nakagawa T., Nielsen A. B., Novenko E. Y., Panajiotidis S., Panova N. K., Papadopoulou M., Pardoe H. S., Pedziszewska A., Petrenko T. I., Ramos-Roman M. J., Ravazzi C., Rosch M., Ryabogina N., Ruiz S. S., Sakari Salonen J., Sapelko T. V., Schofield J. E., Seppa H., Shumilovskikh L., Stivrins N., Stojakowits P., Svitavska H. S., Swieta-Musznicka J., Tantau I., Tinner W., Tobolski K., Tonkov S., Tsakiridou M., Valsecchi V., Zanina O. G., and Zimny M.

Abstract

The Eurasian (née European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60 % from 4826 to 8134. Much of the improvement in data coverage has come from northern Asia, and the database has consequently been renamed the Eurasian Modern Pollen Database to reflect this geographical enlargement. The EMPD can be viewed online using a dedicated map-based viewer at https://empd2.github.io and downloaded in a variety of file formats at https://doi.pangaea.de/10.1594/PANGAEA.909130 (Chevalier et al., 2019).

Published
2020

2. The Eurasian Modern Pollen Database (EMPD), version 2

Author

Juliana Atanassova, Christine M. Åkesson, Piotr Kołaczek, Marco Zanon, Kari Loe Hjelle, Lyudmila S. Shumilovskikh, Heikki Seppä, Nathalie Combourieu-Nebout, Vachel A. Carter, James Edward Schofield, Krystyna Milecka, Iria García-Moreiras, Takeshi Nakagawa, Walter Finsinger, Willy Tinner, Castor Muñoz Sobrino, Anne Birgitte Nielsen, José Antonio López-Sáez, Elena Marinova, Philipp Stojakowits, Tatiana G. Antipina, Silvia Sabariego Ruiz, Roman Abegglen, Vlasta Jankovská, Oksana G. Zanina, Mariusz Gałka, Arsenii T. Galimov, Maria Papadopoulou, Manfred Rösch, Kevin J. Edwards, Patricia L. Fall, Basil A. S. Davis, Philipp Sommer, Elissaveta Bozilova, Ulrike Herzschuh, Verushka Valsecchi, Natalia Ryabogina, Ikuko Kitaba, Elena Novenko, Michelle Leydet, Anna Pędziszewska, Nata K. Panova, Almut Mrotzek, Donatella Magri, Eleonora Clo, Isabelle Matthias, R. Scott Anderson, Tatiana Blyakharchuk, Kazimierz Tobolski, Vincent Lebreton, Leanne N. Phelps, Irina G. Gvozdeva, André F. Lotter, Nina I. Belyanina, Assunta Florenzano, William J. Fletcher, Ioan Tantau, Suzanne A.G. Leroy, Roxana Grindean, Normunds Stivrins, Elena G. Lapteva, Francisca Alba-Sánchez, J. Sakari Salonen, Tatiana I. Petrenko, Tatyana V. Sapelko, Angelica Feurdean, Anna Maria Mercuri, Yuri A. Mikishin, G Furlanetto, Susanne Jahns, Cesare Ravazzi, Helena Svobodova Svitavska, Anastasia Mavridou, Carlo Alessandro Montanari, Jose Manuel Mesa-Fernández, Sampson Panajiotidis, Ruth Beer, Stéphanie Desprat, Federico Di Rita, María J. Ramos-Román, Emna Gaceur, Joanna Święta-Musznicka, Małgorzata Latałowa, Thomas Giesecke, Olga K. Borisova, Galina Bukreeva, M. Jane Bunting, Manuel Chevalier, Achille Mauri, Maria Angela Guido, Darya A. Lopatina, César Morales-Molino, Spassimir Tonkov, Marcelina Zimny, Monika Karpińska-Kołaczek, Sergey Ivanov, Gonzalo Jiménez-Moreno, Daniele Colombaroli, Morteza Djamali, Heather S. Pardoe, Olga D. Naidina, Margarita Tsakiridou, Université de Lausanne, Swiss National Science Foundation, López Sáez, José Antonio [0000-0002-3122-2744], Institute of Earth Surface Dynamics [Lausanne], Université de Lausanne = University of Lausanne (UNIL), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague] (CU), Lomonosov Moscow State University (MSU), Oeschger Centre for Climate Change Research (OCCR), University of Bern, Histoire naturelle de l'Homme préhistorique (HNHP), Muséum national d'Histoire naturelle (MNHN)-Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Department of physical chemistry, Uppsala University, Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), Laboratorio di Palinologia e Paleobotanica, Adam Mickiewicz University in Poznań (UAM), Department of Palynology and Climate Dynamics, Georg-August-University = Georg-August-Universität Göttingen, Alfred Wegener Institute for Polar and Marine Research (AWI), Natural History Collections, University of Bergen (UiB)-University of Bergen (UiB), A.F. Ioffe Physical-Technical Institute, Russian Academy of Sciences [Moscow] (RAS), Brandenburgisches Landesamt für Denkmalpflege und Archäologisches Landesmuseum, Universidad de Granada = University of Granada (UGR), Institute of Geoecology and Geoinformation, Department of Plant Ecology, Gdansk University, University of Gdańsk (UG), Laboratoire de Recherche en Sciences Humaines (Lares-Las), Université de Rennes 2 (UR2), Dipartimento di biologia ambientale, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Department of Botany, Sofia University 'St. Kliment Ohridski', NASA Ames Research Center (ARC), Department of Biogeography and Palaeoecology, Institut Méditerranéen d'Ecologie et de Paléoécologie (IMEP), Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Avignon Université (AU)-Centre National de la Recherche Scientifique (CNRS), Lund University [Lund], Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), CNR-IDPA, Dipartimento di Scienze dell'Ambiente e del Territorio, Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB), Department of Physics and Astronomy [Turku], University of Turku, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Geography [Riga], Софийски университет = Sofia University, University of Portsmouth, Aix Marseille Université (AMU), Avignon Université (AU), López Sáez, José Antonio, Davis, B, Chevalier, M, Sommer, P, Carter, V, Finsinger, W, Mauri, A, Phelps, L, Zanon, M, Abegglen, R, Akesson, C, Alba-Sanchez, F, Scott Anderson, R, Antipina, T, Atanassova, J, Beer, R, Belyanina, N, Blyakharchuk, T, Borisova, O, Bozilova, E, Bukreeva, G, Jane Bunting, M, Clo, E, Colombaroli, D, Combourieu-Nebout, N, Desprat, S, Di Rita, F, Djamali, M, Edwards, K, Fall, P, Feurdean, A, Fletcher, W, Florenzano, A, Furlanetto, G, Gaceur, E, Galimov, A, Galka, M, Garcia-Moreiras, I, Giesecke, T, Grindean, R, Guido, M, Gvozdeva, I, Herzschuh, U, Hjelle, K, Ivanov, S, Jahns, S, Jankovska, V, Jimenez-Moreno, G, Karpinska-Kolaczek, M, Kitaba, I, Kolaczek, P, Lapteva, E, Latalowa, M, Lebreton, V, Leroy, S, Leydet, M, Lopatina, D, Lopez-Saez, J, Lotter, A, Magri, D, Marinova, E, Matthias, I, Mavridou, A, Mercuri, A, Mesa-Fernandez, J, Mikishin, Y, Milecka, K, Montanari, C, Morales-Molino, C, Mrotzek, A, Sobrino, C, Naidina, O, Nakagawa, T, Nielsen, A, Novenko, E, Panajiotidis, S, Panova, N, Papadopoulou, M, Pardoe, H, Pedziszewska, A, Petrenko, T, Ramos-Roman, M, Ravazzi, C, Rosch, M, Ryabogina, N, Ruiz, S, Sakari Salonen, J, Sapelko, T, Schofield, J, Seppa, H, Shumilovskikh, L, Stivrins, N, Stojakowits, P, Svitavska, H, Swieta-Musznicka, J, Tantau, I, Tinner, W, Tobolski, K, Tonkov, S, Tsakiridou, M, Valsecchi, V, Zanina, O, Zimny, M, University of St Andrews. School of Geography & Sustainable Development, University of St Andrews. Environmental Change Research Group, Department of Geosciences and Geography, Université de Lausanne (UNIL), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Department of Botany, Faculty of Science, Charles University, Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Georg-August-University [Göttingen], Departamento de Estratigrafía y Paleontología, Universidad de Granada, Universidad de Granada (UGR), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Sofia University 'Sv. Kliment Ohridski', Université Paul Cézanne - Aix-Marseille 3-Centre National de la Recherche Scientifique (CNRS)-Avignon Université (AU)-Université de Provence - Aix-Marseille 1, Department of Geology, Lund University, Sölvegatan 12, SE-22362 Lund, Sweden, Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), University of Helsinki, and University of Sofia

Subjects
0106 biological sciences, LAKE CONSTANCE REGION, Palynology Palaeoecology Palaeoclimatology, 010504 meteorology & atmospheric sciences, HUMAN IMPACT, recent pollen deposition, 580 Plants (Botany), medicine.disease_cause, 01 natural sciences, 2417.10 Paleobotánica, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, ddc:550, SURFACE POLLEN, SOUTHERN NORWAY, SDG 13 - Climate Action, ComputingMilieux_MISCELLANEOUS, lcsh:Environmental sciences, SDG 15 - Life on Land, lcsh:GE1-350, 0303 health sciences, CLIMATE-CHANGE, GE, APUSENI NATURAL PARK, lcsh:QE1-996.5, Foundation (engineering), European pollen database, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Europe, LAST GLACIAL MAXIMUM, Geography, NORTHERN IBERIAN PLATEAU, pollen, GE Environmental Sciences, 1171 Geosciences, 010506 paleontology, [SDE.MCG]Environmental Sciences/Global Changes, Earth and Planetary Sciences(all), Library science, Climate change, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 010603 evolutionary biology, neotoma, 03 medical and health sciences, Eurasian Modern Pollen Database, 2502.05 Paleoclimatología, Pollen, medicine, SIERRA-NEVADA, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 0105 earth and related environmental sciences, 030304 developmental biology, Botánica, HOLOCENE VEGETATION HISTORY, DAS, 15. Life on land, 2416.03 Palinología, [SDE.ES]Environmental Sciences/Environmental and Society, lcsh:Geology, [SDU]Sciences of the Universe [physics], MCP, General Earth and Planetary Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

The Eurasian (née European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60% from 4826 to 8134. Much of the improvement in data coverage has come from northern Asia, and the database has consequently been renamed the Eurasian Modern Pollen Database to reflect this geographical enlargement. The EMPD can be viewed online using a dedicated map-based viewer at https://empd2.github.io and downloaded in a variety of file formats at https: //doi.pangaea.de/10.1594/PANGAEA.909130 (Chevalier et al., 2019)., Swiss National Science Foundation (SNSF) 200021_169598, University of Lausanne

Published
2020

3. Risk Factors for Dysphagia in ICU Patients After Invasive Mechanical Ventilation.

Author

Zuercher P, Schenk NV, Moret C, Berger D, Abegglen R, and Schefold JC

Subjects
Aged, Deglutition Disorders diagnosis, Deglutition Disorders epidemiology, Female, Follow-Up Studies, Humans, Incidence, Male, Middle Aged, Prospective Studies, Risk Factors, Severity of Illness Index, Switzerland epidemiology, Critical Illness therapy, Deglutition Disorders etiology, Intensive Care Units statistics & numerical data, Respiration, Artificial adverse effects, Risk Assessment methods
Abstract

Background: Dysphagia is common and independently predicts death in ICU patients. Risk factors for dysphagia are largely unknown, with sparse data available from mostly small cohorts without systematic dysphagia screening., Research Question: What are the key risk factors for dysphagia in ICU patients after invasive mechanical ventilation?, Study Design and Methods: Post hoc analysis of data from a monocentric prospective observational study (Dysphagia in Mechanically Ventilated ICU Patients [DYnAMICS]) using comprehensive statistical models to identify potential risk factors for postextubation dysphagia. A total of 933 primary admissions of adult medical-surgical ICU patients (median age, 65 years; interquartile range, 54-73; 666 [71%] men) were investigated in a tertiary care academic center. Patients received systematic bedside screening for dysphagia within 3 h postextubation. Dysphagia screening positivity (n = 116) was followed within 24 h by a confirmatory examination., Results: After adjustment for confounders, baseline neurologic disease (OR, 4.45; 95% CI, 2.74-7.24; P < .01), emergency admission (OR, 2.04; 95% CI, 1.15-3.59; P < .01), days on mechanical ventilation (OR, 1.19; 95% CI, 1.06-1.34; P < .01), days on renal replacement therapy (OR, 1.1; 95% CI, 1-1.23; P = .03), and disease severity (Acute Physiology and Chronic Health Evaluation II score within first 24 h; OR, 1.03; 95% CI, 0.99-1.07; P < .01) remained independent risk factors for dysphagia postextubation. Increased BMI reduced the risk for dysphagia (6% per step increase; OR, 0.94; 95% CI, 0.9-0.99; P = .03)., Interpretation: In ICU patients, baseline neurologic disease, emergency admission, and duration of invasive mechanical ventilation appeared as prominent independent risk factors for dysphagia. Because all ICU patients after mechanical ventilation should be considered at risk for dysphagia, systematic screening for dysphagia is recommended in respective critically ill patients., Trial Registry: ClinicalTrials.gov; No.: NCT02333201; URL: www.clinicaltrials.govclinicaltrials.gov., (Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Published
2020
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4. Using a Goal Theoretical Perspective to Reduce Negative and Promote Positive Spillover After a Bike-to-Work Campaign.

Author

Höchli B, Brügger A, Abegglen R, and Messner C

Abstract

Behavioral change interventions often focus on a specific behavior over a limited time period; for example, a bike-to-work intervention that incentivizes cycling to work over 2 months. While such interventions can successfully initiate behavior, they run the risk of triggering negative spillover effects after completion: Reaching the end of an intervention could reduce the motivation to maintain the behavior; or an increase in the targeted behavior (e.g., cycling to work more often) could lead to negative spillover across behaviors (e.g., cycling less in leisure time). Using a goal theoretical perspective, we tested whether an intervention focusing on a specific behavior during a limited time period (a subordinate goal) triggers negative spillover, and whether superordinate goals and/or action steps reduce negative or promote positive spillover. We conducted an experimental field study ( N = 1,269) in the context of a bike-to-work campaign with a longitudinal multilevel design. Participants across all four experimental conditions had the campaign goal of cycling to work for a maximum of 2 months (a subordinate goal). A quarter of the participants additionally generated superordinate goals, a quarter action steps and a quarter superordinate goals and action steps. The last quarter was a control condition which only set the subordinate campaign goal. Surprisingly, the intervention caused no negative and some positive spillover effects. Participants increased the frequency of cycling to work across all groups and the increase could be maintained up to 2 months after the campaign. An increase in cycling to work spilled over to an increase in cycling in leisure time and to an increase in eating fruits and vegetables. No spillover effects were found regarding exercising and eating sweets and snacks. Participants focusing additionally on a superordinate goal cycled to work more frequently at the end of the campaign than the control group. Contrary to our expectations, the maintenance of cycling to work over time and the positive spillover effects across behaviors did not differ due to the goal manipulation. These results reduce the concern that interventions focusing on a subordinate goal could trigger negative spillover effects and show the need for additional experimental field studies.

Published
2019
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5. Abnormal presentation of ascending cholangitis.

Author

Scaife M, Abegglen R, Vila C, and Stahlfeld K

Abstract

Ventriculo-peritoneal, -gallbladder, -pleural, -atrial, and -jugular shunts are all viable options in the treatment of hydrocephalus 1, 2, 3. Retrieval of these catheters can often be very difficult and may be unsuccessful or incomplete. Retained catheters can result in unforeseen and unexpected complications.

Published
2018
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6. Beware of the interval cholecystectomy.

Author

Ackerman J, Abegglen R, Scaife M, Peitzman A, Rosengart M, Marsh JW, and Stahlfeld KR

Subjects
Aged, Blood Loss, Surgical statistics & numerical data, Cholecystectomy mortality, Cholecystitis, Acute mortality, Female, Hospital Mortality, Humans, Length of Stay statistics & numerical data, Male, Middle Aged, Operative Time, Retrospective Studies, Surgical Wound Infection epidemiology, Treatment Outcome, Cholecystectomy methods, Cholecystitis, Acute surgery
Abstract

Background: Despite limited data regarding the indications and effectiveness of percutaneous cholecystostomy (PC) in the treatment of acute cholecystitis (AC), usage has increased by over 500% since 1994. Many of these patients subsequently undergo interval cholecystectomy (IC), a procedure that has not been rigorously evaluated. This aim of this study was to quantify the morbidity and mortality associated with the IC., Methods: We included all consecutive adult patients (>18 years old) who underwent PC and IC from January 2008 to December 2013. Conversion rate, length of operation, biliary injury, estimated blood loss, surgical site infection, length of stay, and mortality were compared with 227 patients who underwent cholecystectomy for AC during the same time interval., Results: Of 18,501 patients who underwent cholecystectomy, 337 had at least one PC and 177 underwent subsequent IC. Compared with patients undergoing cholecystectomy for clinically diagnosed AC, patients undergoing IC were older (69.8 vs. 54.9 years; p < 0.001), thinner (body mass index, 28.7 vs. 31.1; p = 0.002), more complex by Tokyo grade (1.9 vs. 1.1; p < 0.001), and American Society of Anesthesia classification (3.0 vs. 2.5; p < 0.001), had longer operative times (120.7 vs. 92.5 minutes; p < 0.0001), more blood loss (30 vs. 15 mL; p = 0.01), and increased rates of conversion (26.6% vs. 12.8%; p < 0.001), surgical site infection (12.4% vs. 0.4%; p < 0.001), bowel injury (6.2% vs. 0.4%; p < 0.001), and 1-year mortality (15.3% vs. 0.4%; p < 0.01). Nonsignificant trends included significant biliary tract injury (3 vs. 0; p = 0.08) and longer length of stay (7.3 vs. 4.8 days; p = 0.39). Linear regression identified body mass index (p = 0.03), time from admission to PC (p = 0.03), and American Society of Anesthesia classification (p = 0.06) as predictors of a difficult IC., Conclusion: PC has been widely adopted with limited description of the subsequent IC. Our data detail the factors predicting the challenges of IC and document that it is a difficult operation associated with significant morbidity., Level of Evidence: Therapeutic, level IV.

Published
2017
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